XLON:SEE
Seeing Machines Limited Stock Price (Quote)
£5.11
+0.150 (+3.02%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £3.87 | £5.69 | Friday, 17th May 2024 SEE.L stock ended at £5.11. This is 3.02% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.85% from a day low at £4.82 to a day high of £5.15. |
90 days | £3.87 | £5.69 | |
52 weeks | £3.87 | £6.15 |
Date | Open | High | Low | Close | Volume |
Feb 17, 2016 | £4.25 | £4.38 | £4.25 | £4.25 | 1 612 338 |
Feb 16, 2016 | £4.25 | £4.25 | £4.13 | £4.25 | 846 775 |
Feb 15, 2016 | £4.25 | £4.25 | £4.25 | £4.25 | 718 255 |
Feb 12, 2016 | £4.25 | £4.25 | £4.13 | £4.25 | 558 090 |
Feb 11, 2016 | £4.38 | £4.38 | £4.13 | £4.25 | 2 304 103 |
Feb 10, 2016 | £4.38 | £4.38 | £4.38 | £4.38 | 3 534 029 |
Feb 09, 2016 | £4.50 | £4.50 | £4.38 | £4.38 | 441 363 |
Feb 08, 2016 | £4.50 | £4.50 | £4.38 | £4.50 | 381 671 |
Feb 05, 2016 | £4.50 | £4.50 | £4.50 | £4.50 | 2 827 389 |
Feb 04, 2016 | £4.63 | £4.63 | £4.38 | £4.50 | 1 476 578 |
Feb 03, 2016 | £4.63 | £4.63 | £4.63 | £4.63 | 100 000 |
Feb 02, 2016 | £4.60 | £4.63 | £4.50 | £4.63 | 146 559 |
Feb 01, 2016 | £4.75 | £4.75 | £4.60 | £4.60 | 1 660 906 |
Jan 29, 2016 | £4.63 | £4.75 | £4.63 | £4.75 | 1 990 615 |
Jan 28, 2016 | £4.88 | £4.88 | £4.63 | £4.63 | 1 255 321 |
Jan 27, 2016 | £4.88 | £4.88 | £4.88 | £4.88 | 2 529 421 |
Jan 26, 2016 | £5.00 | £5.00 | £4.88 | £4.88 | 846 505 |
Jan 25, 2016 | £5.00 | £5.00 | £5.00 | £5.00 | 311 783 |
Jan 22, 2016 | £5.00 | £5.00 | £4.88 | £5.00 | 2 918 725 |
Jan 21, 2016 | £5.00 | £5.00 | £5.00 | £5.00 | 925 352 |
Jan 20, 2016 | £4.88 | £5.13 | £4.88 | £5.00 | 2 986 389 |
Jan 19, 2016 | £5.00 | £5.13 | £5.00 | £5.13 | 353 439 |
Jan 18, 2016 | £5.00 | £5.00 | £4.88 | £5.00 | 1 073 570 |
Jan 15, 2016 | £5.13 | £5.13 | £5.00 | £5.00 | 1 672 204 |
Jan 14, 2016 | £5.00 | £5.13 | £5.00 | £5.13 | 3 304 821 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use SEE.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SEE.L stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the SEE.L stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.